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Real-Time IoT, Quantum Advances, and Ethical Implications in Autonomous AI Systems
Abstract
The overlap of real-time IoT systems, quantum computing, and the ethical dimensions of autonomous AI is reshaping intelligent automation. This work outlines key technologies like edge computing, low-latency communication, and distributed algorithms that support real-time responses in critical areas such as healthcare, autonomous vehicles, and smart infrastructure. It explores how AI methods, machine learning, computer vision, and reinforcement learning enable systems to adapt and act autonomously. Quantum computing's potential to enhance processing, optimization, and security is also examined, with a focus on its integration into AI-IoT systems. The study addresses challenges like algorithmic bias, opacity, accountability, and the societal impacts of automation. Emphasizing Explainable AI (XAI), it advocates for transparent, trustworthy decisions in high-stakes applications. The chapter promotes inclusive dialogue and responsible governance to align innovation with ethical standards.
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